The critical value of a hypothesis test is based on the researcher's selected level of significance.

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The critical value of a hypothesis test is determined by the level of significance, which is selected by the researcher prior to conducting the test. The level of significance represents the maximum probability of making a type I error (rejecting a true null hypothesis), and is typically set at either 0.05 or 0.01. The critical value is usually determined using a statistical table or calculator, and represents the minimum level of test statistic that is needed to reject the null hypothesis at the chosen level of significance.

The Critical Value of a Hypothesis Test Is Based on the Researcher's